: The k-nearest neighbour (KNN) technique is a simple yet effective method for classification. In this paper, we propose an efficient weighted nearest neighbour classification algo...
William Perrizo, Qin Ding, Maleq Khan, Anne Denton...
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Abstract— Most existing work in aggregation and querying for sensor network data has focused on the use of standard statistical operations (average, median, etc) to reduce the qu...
This paper is concerned with design, implementation and verification of persistent purely functional data structures which are motivated by the representation of natural numbers us...
Road networks, roads, and junctions are examples of natural language terms whose semantics can be described by affordances of their physical referents. In order to define affordanc...